Date & Time: 

   2025 /04 / 11  (Fri) 14:20 - 16:20

 

Location: 

   Delta Building R216, NTHU

 

Speaker: 

   逄愛君 教授

   國立臺灣大學資訊工程學系

 

Topic: 

  Toward 6G-Enabled Mobile Edge Intelligence

 

Abstract: 

  With the explosive development of AI, edge intelligence has been considered a must in developing future 6G mobile communications systems to provide timely responses to emerging applications on mobile devices. In 6G, the computation-intensive AI tasks will be distributed at the network edge, and the communications paradigm will shift from conventional symbol transmission to semantic information delivery. This lecture will overview key features of 6G mobile networks and elaborate on distributed AI learning driven by edge intelligence. We will present the effects of limited labeled and non-IID data in the edge-intelligence environment. We will also discuss the vulnerability of the edge-intelligence framework and defense methods against privacy leakage and security threats. Finally, we will introduce the GenAI-based semantic encoder to prioritize task-oriented communication, with the concept of understanding before transmitting and delivering the intended meaning of messages, to achieve the goal of pervasive computing for connected intelligence.

 

Autobiography: 

  Ai-Chun Pang received B.S., M.S., and Ph.D. degrees in Computer Science and Information Engineering from National Chiao Tung University (now National Yang Ming Chiao Tung University), Taiwan, in 1996, 1998, and 2002, respectively. Dr. Pang is the Director and Distinguished Research Fellow of the Research Center of Information Technology Innovation, Academia Sinica. She is also the Distinguished Professor of the Department of Computer Science and Information Engineering at National Taiwan University. Her research interests include wireless and mobile networking, edge computing, and IoT. She is a Fellow of the IEEE.